1 citations · 1 across the 4 of their papers we have counts for
5 papers
MoCaP: Mobile Code-as-Policies for Zero-Shot Mobile Manipulation from Passive Human Videos
Yiyang Cai, Tatsuya Kamijo, Ninghao Lu +2
Passive human videos of everyday activity offer robots access to a massive amount of human experience without requiring a demonstration for each task. However, using this experienc…
Tactile Memory with Soft Robot: Robust Object Insertion via Masked Encoding and Soft Wrist
Tatsuya Kamijo, Mai Nishimura, Nodoka Shibasaki +3
Tactile memory, the ability to store and retrieve touch-based experience, is critical for contact-rich tasks such as key insertion under uncertainty. To replicate this capability,…
Learning Diffusion Policies from Demonstrations For Compliant Contact-rich Manipulation
Malek Aburub, Cristian C. Beltran-Hernandez, Tatsuya Kamijo +1
Robots hold great promise for performing repetitive or hazardous tasks, but achieving human-like dexterity, especially in contact-rich and dynamic environments, remains challenging…
Learning Variable Compliance Control From a Few Demonstrations for Bimanual Robot with Haptic Feedback Teleoperation System
Tatsuya Kamijo, Cristian C. Beltran-Hernandez, Masashi Hamaya
Automating dexterous, contact-rich manipulation tasks using rigid robots is a significant challenge in robotics. Rigid robots, defined by their actuation through position commands,…
Tactile-based Active Inference for Force-Controlled Peg-in-Hole Insertions
Tatsuya Kamijo, Ixchel G. Ramirez-Alpizar, Enrique Coronado +1
Reinforcement Learning (RL) has shown great promise for efficiently learning force control policies in peg-in-hole tasks. However, robots often face difficulties due to visual occl…